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ORCIDPedro H. Azevedo de Amorim
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- affiliation: Cornell University, Computer Science Department, Ithaca, NY, USA
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2020 – today
- 2024
[i7]Pedro H. Azevedo de Amorim:
Compositional Expected Cost Analysis of Functional Probabilistic Programs. CoRR abs/2402.01009 (2024)- 2023
- [j2]Rachit Nigam
, Pedro Henrique Azevedo de Amorim, Adrian Sampson:
Modular Hardware Design with Timeline Types. Proc. ACM Program. Lang. 7(PLDI): 343-367 (2023) - [c3]Pedro H. Azevedo de Amorim:
A Higher-Order Language for Markov Kernels and Linear Operators. FoSSaCS 2023: 89-112 - [i6]Pedro H. Azevedo de Amorim, Justin Hsu:
Separated and Shared Effects in Higher-Order Languages. CoRR abs/2303.01616 (2023) - [i5]Rachit Nigam, Pedro Henrique Azevedo de Amorim, Adrian Sampson:
Modular Hardware Design with Timeline Types. CoRR abs/2304.10646 (2023) - 2022
- [i4]Pedro H. Azevedo de Amorim:
A Sampling-Aware Interpretation of Linear Logic: Syntax and Categorical Semantics. CoRR abs/2202.00142 (2022) - [i3]Pedro H. Azevedo de Amorim, Christopher Lam:
Distribution Theoretic Semantics for Non-Smooth Differentiable Programming. CoRR abs/2207.05946 (2022) - 2021
- [c2]Pedro H. Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden, Michael Roberts:
Universal Semantics for the Stochastic λ-Calculus. LICS 2021: 1-12 - 2020
- [c1]Andrew K. Hirsch, Pedro H. Azevedo de Amorim, Ethan Cecchetti, Ross Tate, Owen Arden:
First-Order Logic for Flow-Limited Authorization. CSF 2020: 123-138 - [i2]Andrew K. Hirsch, Pedro H. Azevedo de Amorim, Ethan Cecchetti, Ross Tate, Owen Arden:
First-Order Logic for Flow-Limited Authorization. CoRR abs/2001.10630 (2020) - [i1]Pedro H. Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden, Michael Roberts:
Universal Semantics for the Stochastic Lambda-Calculus. CoRR abs/2011.13171 (2020)
2010 – 2019
- 2017
- [j1]Stephanie Weirich, Antoine Voizard, Pedro Henrique Azevedo de Amorim, Richard A. Eisenberg:
A specification for dependent types in Haskell. Proc. ACM Program. Lang. 1(ICFP): 31:1-31:29 (2017)
Coauthor Index
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